Benchmarking de Sistemas AutoML Open-source
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Abstract
This work offers a benchmarking of the three most know open-source AutoML systems, Auto-WEKA, Auto-Sklearn and TPOT, in terms of how they work in each part of an AutoML flow, and algorithms supported in each part of that flow. Automated Machine Learning is a tool that automates the result of machine learning with as little human effort as possible. This work shows that for certain types of data and forecasting objectives, the users, whether data science students or professionals, must pay attention to each tool, because it implies the results obtained and predictions can be more refined or not.
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How to Cite
dos Santos, M. V., Alves, G., & Maciel, A. (2022). Benchmarking de Sistemas AutoML Open-source. Journal of Engineering and Applied Research, 7(3), 19-28. https://doi.org/10.25286/repa.v7i3.2456
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Edição Especial em Ciência de Dados e Analytics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.